langchain-mistralai

This package contains the LangChain integrations for MistralAI through their mistralai SDK.

Installation

pip install -U langchain-mistralai

Chat Models

This package contains the ChatMistralAI class, which is the recommended way to interface with MistralAI models.

To use, install the requirements, and configure your environment.

export MISTRAL_API_KEY=your-api-key

Then initialize

from langchain_core.messages import HumanMessage
from langchain_mistralai.chat_models import ChatMistralAI

chat = ChatMistralAI(model="mistral-small")
messages = [HumanMessage(content="say a brief hello")]
chat.invoke(messages)

ChatMistralAI also supports async and streaming functionality:

# For async...
await chat.ainvoke(messages)

# For streaming...
for chunk in chat.stream(messages):
    print(chunk.content, end="", flush=True)

Embeddings

With MistralAIEmbeddings, you can directly use the default model 'mistral-embed', or set a different one if available.

Choose model

embedding.model = 'mistral-embed'

Simple query

res_query = embedding.embed_query("The test information")

Documents

res_document = embedding.embed_documents(["test1", "another test"])

Metadata

Release files for langchain-mistralai 0.2.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for langchain-mistralai 0.2.11
File	Size	Uploaded
langchain_mistralai-0.2.11.tar.gz	21.7 kB	Jul 7, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.11
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.11-py3-none-any.whl 16.6 kB Jul 7, 2025	Python 3	none	any	Details

Total release size: 38.3 kB

Release files / langchain_mistralai-0.2.11.tar.gz

Download URL	langchain_mistralai-0.2.11.tar.gz
Size	21.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`0816bb9972c9e407d9eca567ad16095ec4f0f5bb9094890692ceb149aa72c71e`
BLAKE2b-256 checksum How to use checksums	`6df57afd7dcd252e5abaaf3a13849733a32aaf0b5f2290dc62bd2c72afdc33e4`
Upload date	Jul 7, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / langchain_mistralai-0.2.11-py3-none-any.whl

Download URL	langchain_mistralai-0.2.11-py3-none-any.whl
Size	16.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6940b551f8e63ca9163e8f5a156aab6814238f9b19302405b6af9d8703e7f762`
BLAKE2b-256 checksum How to use checksums	`4835cf2e31b5af5b6798437bb7c92b13d0ed7c4bdde87034227b49be907fe272`
Upload date	Jul 7, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`